Evidence map›Paper›PMID 37214263›Full record

ArticleNorth American Spine Society journal2023

Modern internet search analytics and spine: what are patients asking and reading online?

Viknesh Kasthuri, Alexander Homer, Daniel Alsoof, James Hong, Christopher L McDonald, Bassel G Diebo, Alan H Daniels

Abstract read
In one paragraph

Article in North American Spine Society journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. AI in patient education: a comparative analysis of the quality and readability of AI generated patient education material on spinal fusion.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  4. Article
  5. Article
  6. Article
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  8. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Viknesh KasthuriWarren Alpert Medical School, Brown University, 1 Kettle Point Ave, East Providence, RI, 02914, United States.
Alexander HomerWarren Alpert Medical School, Brown University, 1 Kettle Point Ave, East Providence, RI, 02914, United States.
Daniel AlsoofDepartment of Orthopedics, Warren Alpert Medical School, Brown University, 1 Kettle Point Ave, East Providence, RI, 02914, United States.
James HongDepartment of Orthopedics, Warren Alpert Medical School, Brown University, 1 Kettle Point Ave, East Providence, RI, 02914, United States.
Christopher L McDonaldDepartment of Orthopedics, Warren Alpert Medical School, Brown University, 1 Kettle Point Ave, East Providence, RI, 02914, United States.
Bassel G DieboDepartment of Orthopedics, Warren Alpert Medical School, Brown University, 1 Kettle Point Ave, East Providence, RI, 02914, United States.
Alan H DanielsDepartment of Orthopedics, Warren Alpert Medical School, Brown University, 1 Kettle Point Ave, East Providence, RI, 02914, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Google's People Also Ask feature uses various machine learning algorithms to distill the most frequently asked questions and link users to potential answers. The aim of this study is to investigate the most frequently asked questions related to commonly performed spine surgeries. Methods: This is an observational study utilizing Google's People Also Ask feature. A variety of search terms were entered into Google for anterior cervical discectomy and fusion (ACDF), discectomy, and lumbar fusion. Frequently asked questions and linked websites were extracted. Questions were categorized by topic based on Rothwell's Classification system, and websites were categorized by type. Pearson's chi-squared and Student Results: A total of 576 unique questions (181 ACDF, 148 discectomy, 309 lumbar fusion) were extracted with 372 unique websites and 177 domains. The most common website types were medical practice (41%), social media (22%), and academic (15%). The most popular question topics were specific activities & restrictions (22%), technical details (23%), and evaluation of surgery (17%). Questions related to technical details were more common in discectomy vs lumbar fusion (33% vs 24%, p=.03) and lumbar fusion vs ACDF (24% vs 14%, p=.01). Questions related to specific activities & restrictions were more common in ACDF vs discectomy (17% vs 8%, p=.02) and ACDF vs lumbar fusion (28% vs 19%, p=.016). Questions related to risks & complications were more common in ACDF vs lumbar fusion (10% vs 4%, p=.01). Conclusions: The most frequently asked questions on Google regarding spine surgery are related to technical details and activity restrictions. Surgeons may emphasize these domains in consultations and direct patients to reputable sources of further information. Much of the linked information provided originates from nonacademic and nongovernment sources (72%), with 22% from social media websites.

Indexed as

Anterior cervical discectomy and fusionDiscectomyLumbar fusionMachine learningNatural language processingOnline health informationPatient educationSearch analyticsSocial mediaSpinal fusion

Identifiers

PMID37214263
PMCPMC10192655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.